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The paper introduces GPT-5, a unified system comprising a fast, general-purpose model and a deeper reasoning model, managed by a real-time router trained on user feedback and performance metrics. GPT-5 demonstrates improved performance on benchmarks, faster response times, and enhanced utility for real-world queries, with significant reductions in hallucinations, improved instruction following, and minimized sycophancy. The system incorporates "safe-completions" for safety and is treated as High capability in the Biological and Chemical domain under OpenAI's Preparedness Framework, triggering associated safeguards.
GPT-5's real-time router learns to route queries to specialized models, making it faster and more useful than its predecessors.
This is the system card published alongside the OpenAI GPT-5 launch, August 2025. GPT-5 is a unified system with a smart and fast model that answers most questions, a deeper reasoning model for harder problems, and a real-time router that quickly decides which model to use based on conversation type, complexity, tool needs, and explicit intent (for example, if you say'think hard about this'in the prompt). The router is continuously trained on real signals, including when users switch models, preference rates for responses, and measured correctness, improving over time. Once usage limits are reached, a mini version of each model handles remaining queries. This system card focuses primarily on gpt-5-thinking and gpt-5-main, while evaluations for other models are available in the appendix. The GPT-5 system not only outperforms previous models on benchmarks and answers questions more quickly, but -- more importantly -- is more useful for real-world queries. We've made significant advances in reducing hallucinations, improving instruction following, and minimizing sycophancy, and have leveled up GPT-5's performance in three of ChatGPT's most common uses: writing, coding, and health. All of the GPT-5 models additionally feature safe-completions, our latest approach to safety training to prevent disallowed content. Similarly to ChatGPT agent, we have decided to treat gpt-5-thinking as High capability in the Biological and Chemical domain under our Preparedness Framework, activating the associated safeguards. While we do not have definitive evidence that this model could meaningfully help a novice to create severe biological harm -- our defined threshold for High capability -- we have chosen to take a precautionary approach.